TY - GEN
T1 - Yüz bulma yöntemlerinin haber videolari i̇çin sistematik karşilaştirilmasi
AU - Acar, Can
AU - Atlas, Arda
AU - Çevik, Koray
AU - Ölmez, Isa
AU - Ünlü, Mustafa
AU - Özkan, Derya
AU - Duygulu, Pmar
PY - 2007
Y1 - 2007
N2 - People are the most important subjects in news videos and for proper retrieval of people images; face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due to the huge irregularities and high noise level in the data. In addition to that, with different face detection algorithms, the number and the type of the faces may differ. In this study, in order to get the best performance from existing methods, systematic evaluation of these methods is performed. In the experiments, news videos from TRECVID 2006 data set are used and for evaluation four different face detection methods are chosen.
AB - People are the most important subjects in news videos and for proper retrieval of people images; face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due to the huge irregularities and high noise level in the data. In addition to that, with different face detection algorithms, the number and the type of the faces may differ. In this study, in order to get the best performance from existing methods, systematic evaluation of these methods is performed. In the experiments, news videos from TRECVID 2006 data set are used and for evaluation four different face detection methods are chosen.
UR - https://www.scopus.com/pages/publications/50249127762
U2 - 10.1109/SIU.2007.4298778
DO - 10.1109/SIU.2007.4298778
M3 - Konferans katkısı
AN - SCOPUS:50249127762
SN - 1424407192
SN - 9781424407194
T3 - 2007 IEEE 15th Signal Processing and Communications Applications, SIU
BT - 2007 IEEE 15th Signal Processing and Communications Applications, SIU
T2 - 2007 IEEE 15th Signal Processing and Communications Applications, SIU
Y2 - 11 June 2007 through 13 June 2007
ER -